Extraction of event-related signals from multichannel bioelectrical measurements
Extraction of event-related signals from multichannel bioelectrical measurements
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DOI：
10.1109/10.841329
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发表时间：
2000-05-01
影响因子：
4.6
通讯作者：
Ohnishi, N
中科院分区：
文献类型：
--
作者：
Barros, AK;Vigário, R;Ohnishi, N
独立分量分析（伊卡）是从混合信号中分离信号的有力工具。在这一领域中，提出了许多算法，但他们很少使用先验信息，以找到所需的信号。在这里，我们提出了一个固定点算法，它使用先验信息来找到感兴趣的信号的传感器数量。我们特别适用于该算法，以消除心脏伪影脑磁图。
Independent component analysis (ICA) is a powerful tool for separating signals from their mixtures. In this field, many algorithms were proposed, but they poorly use a priori information in order to find the desired signal. Here, we propose a fixed point algorithm which uses a priori information to find the signal of interest out of a number of sensors. We particularly applied the algorithm to cancel cardiac artifacts from a magnetoencephalogram.